| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 9 | |
| Section | Data and Metadata Organization, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202429501003 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429501003
A Ceph S3 Object Data Store for HEP
Fermi National Accelerator Laboratory, Batavia, IL
* e-mail: ncsmith@fnal.gov
Published online: 6 May 2024
In CMS, data access and management is organized around the data tier model: a static definition of what subset of event information is available in a particular dataset, realized as a collection of files. We present a novel data management model that obviates the need for data tiers by exploding files into individual event data product objects. The objects are stored and retrieved through Ceph S3 technology, with a layout designed to minimize data and metadata volume while maximizing data processing parallelism. We demonstrate that this object data format shows promise in reducing total storage requirements while allowing more flexible data access patterns. Performance benchmarks of a prototype data processing framework using this object data format and a test Ceph cluster are presented, showing good scaling behavior in a distributed processing task.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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